Triple
T10328846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CountQueuingStrategy |
E242827
|
entity |
| Predicate | sizeFunctionOutput |
P91182
|
FINISHED |
| Object | 1 for any chunk |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 1 for any chunk | Statement: [CountQueuingStrategy, sizeFunctionOutput, 1 for any chunk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sizeFunctionOutput Context triple: [CountQueuingStrategy, sizeFunctionOutput, 1 for any chunk]
-
A.
stateSize
Indicates the relative or absolute physical extent or dimensions of a state, such as its area or population size.
-
B.
outputLength
chosen
Indicates the length or size of the result produced by a process, function, or operation.
-
C.
rangeSize
Indicates the extent or magnitude of the range over which something applies, varies, or is distributed.
-
D.
stateSizeBytes
Indicates the size of a given state or stateful data in terms of the number of bytes it occupies.
-
E.
sizeDefinedBy
Indicates that the size or magnitude of one entity is determined, constrained, or specified by another entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7cfd54c8190b6f88598339536d1 |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f64a648190a79980d647898eb0 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:52 a.m.